Latest AI and machine learning research in critical care for healthcare professionals.
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the br...
The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management fo...
Although numerous studies are conducted every year on how to reduce the fatality rate associated wi...
This paper proposes a new method to make short-term predictions for the three kinds of primary energ...
In medical visualization, nursing notes contain rich information about a patient's pathological cond...
OBJECTIVES: To assess the image quality of conventional respiratory-triggered 3-dimentional (3D) mag...
BACKGROUND: In developing countries, lower respiratory tract infection is a major cause of death in ...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-...
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various size...
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early iden...
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if ...
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, a...
Non-invasive multi-disease detection is an active technology that detects human diseases automatical...
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may ...
Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Emotion recognition is an important research field for human-computer interaction. Audio-video emoti...
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to int...
This paper presents and explores a robust deep learning framework for auscultation analysis. This ai...
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pre...